Sürdürülebilir Kalkınma Amaçları
Yazarlar
- Uzun, Sevda(67)
- Merdan, Mehmet(59)
- Duran, Celal(49)
- Ozdes, Duygu(46)
- Kaygusuz, Abdullah(45)
- Demir, Selim(37)
- Turan, Ibrahim(37)
- Karsli, Orhan(36)
- Öztürk, Serkan(35)
- Dokuz, Abdurrahman(34)
- Araz, Onur(32)
- Kandemir, Raif(31)
- Kulakaç, Nurşen(29)
- Sipahi, Ferkan(29)
- Arslan, Mehmet(27)
- Baltaci, Cemalettin(27)
- Baltacı, Cemalettin(27)
- Kurt, Kemal(27)
- Topal, Fevzi(27)
- Gücer, Mehmet Ali(25)
- Peker, Iskender(25)
- Aydin, Faruk(24)
- Bayrakdaroglu, Serdar(24)
- Maden, Nafiz(24)
- Ozturk, Samet(24)
- Vural, Alaaddin(24)
- Yolcu, Halil(24)
- Yücel, Cem(24)
- Aliyazicioglu, Yuksel(23)
- Kankal, Murat(23)
- Reis, Hatice Catal(23)
- Ürkek, Bayram(23)
- Günen, Mehmet Akif(22)
- Kurnaz, Muammer(22)
- Topal, Meryem(22)
- Karimullah, Suud Sarim(21)
- Uysal, Ibrahim(21)
- Ashyralyyev, Charyyar(20)
- Aydin, Aydanur(20)
- Bayraktar, Alemdar(20)
Yayınlar
- MakaleAçık Erişim2020Scopus SJRQ1Solar irradiation on the rear surface of bifacial solar modules: a modeling approach
Durusoy, Beyza; Ozden, Talat; Akinoglu, Bulent G.
The transition in the energy sector has started with the growing population leading to the growing energy demands. The use of photovoltaic (PV) technologies has become a crucial way to meet energy demand. There are many ongoing studies for increasing the efficiency of commercial PV modules. One way to increase the energy yield of the PV modules is to use bifacial solar panels by capturing the rear side illumination as well. One of the challenges for estimating the bifacial module performances is to calculate the solar irradiation impinging on the rear side. Many models presented up to now require high computational power, and they are challenging to implement real-life conditions. In this paper, a simple physical modeling approach is presented to calculate the rear side solar irradiation incident on the bifacial modules. For the rear side irradiance estimation, the maximum difference between the measured and calculated rear side irradiance value is approximately 10 W/m2. The model does not require high computational skills since it is neither focused on the view factor nor ray tracing methodologies but instead uses solar geometry. The yield of the module is also modeled, calculated, and compared with the measurements.
AtıfScopus59WoS44OpenAlex60
İncele - MakaleYalnız künye2020ANALYSIS OF RANDOM DISCRETE TIME LOGISTIC MODEL
Merdan, Mehmet; Şişman, Şeyma
In this study, the behavior of the logistic difference model is investigated under random conditions using discrete probability distributions. The logistic difference model consists of parameters that depend on the population models to be used. For the study of random difference equation population models, the parameters are treated as random variables which constitutes the basis of the study. Random models were created using Uniform, Bernouilli, Binom, Negative Binomial (or Pascal), Geometric, Hypergeometric, Poisson distributions and their numerical characteristics are obtained through their simulations. Then, the results showing random numerical characteristics such as expected value, variance, standard deviation, coefficient of variation and confidence intervals were obtained with MATLAB package program. Analysis of random logistic difference model is given with the help of graphics and tables.
AtıfScopus6WoS6İncele - MakaleYalnız künye2020Scopus SJRQ2Reading comprehension, Mathematics self-efficacy perception, and Mathematics attitude as correlates of students’ non-routine Mathematics problem-solving skills in Turkey
Öztürk, Mesut; Akkan, Yaşar; Kaplan, Abdullah
Literature that investigates the factors affecting problem-solving evaluates the cognitive and affective components, such as reading comprehension, metacognition, Mathematics anxiety, Mathematics attitude and Mathematics self-efficacy. Recently, studies have shown that Mathematics attitude and Mathematics self-efficacy as affective factors, and reading comprehension as a cognitive factor could play a crucial role in the problem-solving of middle school students. This study investigated the influence of reading comprehension skill, Mathematics self-efficacy perception and Mathematics attitude on non-routine Mathematics problem-solving skills. It is hypothesized that non-routine problem-solving skills are related to reading comprehension skills, Mathematics self-efficacy perception and Mathematics attitudes. To achieve this aim, a reading comprehension skill test, a Mathematics self-efficacy perception scale, a Mathematics attitude scale and a non-routine problem-solving skill test were applied. The instruments were completed by 362 middle school students. A correlation analysis was used to determine the relationship of variables on non-routine problem-solving skills, and the predictive effects of the predictor variables on non-routine Mathematics problem-solving skills were examined by hierarchical regression analysis. The analysis also showed that for middle-school students’ non-routine Mathematics problem-solving skills, all related factors–reading comprehension, Mathematics self-efficacy perception and Mathematics attitude were significant. Reading comprehension skills and Mathematics self-efficacy perception significantly predicted problem-solving skills, and both predictors explained a total of 22% of the total variance.
AtıfScopus55WoS30OpenAlex116İncele - MakaleAçık Erişim2020Some Quality Criteria of Valerian (Valeriana dioscoridis Sm.) Growing in Different Environments
Uçar, Esra; Ataş, Mehmet; Çilesiz, Yeter; Çinbilgel, İlker; Eruygur, Nuraniye; Oral, İrem Zeynep; Karaköy, Tolga
Valerian (Valeriana dioscoridis Sm.) is a perennial herb of the Caprifoliaceae family. The genus Valeriana L. is represented by 14 species (15 taxa) in Turkey. This plant contains flavone glycosides, iridoids and lignans. Among these components, the medically important active ingredient is valerianic acid. Essential oils from valerian roots and rhizomes are used for the treatment of various diseases, including insomnia, mental illness, anxiety, menstrual cramps and physical stress conditions. In this study, evaluations were made of the root and rhizome of valerian plants grown in a natural environment and in greenhouse condition. The macro and micro nutrient contents of the powdered plant samples, and the antioxidant and antimicrobial activity values of the extracts were reported. Except for some macro and micro elements, it was determined that antioxidant and antimicrobial activities of plants cultivated and grown in nature were not different. The major components of both the natural and cultivated forms were determined to be 9-Borabicyclo [3.3.1] nonane, 9-[3-(dimethylamino) propyl]- (17.55% and 22.65%, respectively). The heavy metales such as Fe (415.21±47.8 mg/kg), Cu (50.9±0.2 mg/kg) and Mn (274.6±9.5 mg/kg), were obtained above limit values in grown plants of natural environment conditions.
AtıfScopus6OpenAlex4
İncele - MakaleAçık Erişim2020Scopus SJRQ2Historical aurora borealis catalog for Anatolia and Constantinople (hABcAC) during the Eastern Roman Empire period: Implications for past solar activity
Maden, Nafiz
Herein, Anatolian aurorae are reviewed based on the existing catalogs to establish a relationship between the aurora observations and past solar activity during the Medieval period. For this purpose, historical aurora catalogs for Constantinople and Anatolia are compiled based on the existing catalogs and compared with those in the Middle East region. The available catalogs in the literature are mostly related to the records observed in Europe, Japan, China, Russia, and the Middle East. There is no study dealing only with the historical aurora observations recorded in Anatolia and Constantinople. The data of the catalog show that there is a considerable relationship between the aurora activity and past strong solar activity. High auroral activity around the extreme solar particle storm in 774/775 and the Medieval grand maximum in the 1100s in Anatolia and the Middle East is quite consistent with the past solar variability reported in other scientific literature.
AtıfScopus3WoS2OpenAlex6İncele - MakaleAçık Erişim2020Effect of cereals milling on the contents of phytic acid and digestibility of minerals and protein
Ertop, Muge Hendek; Bektas, Muberra; Atasoy, Rabia
Introduction. The aim of the study was to the examination of effects of the milling process which were applied differently to cereals for commercially flour production, on the phytic acid, microelement, and in-vitro digestibility. Materials and methods. The nutritional consequences of the milling processes of the cereals (wheat, barley, rye, oat, paddy) were evaluated by examining protein, ash, phytic acid, mineral contents, and protein/mineral digestibility rates. Mineral contents were measured by inductively coupled plasma optical emission spectroscopy (ICP-OES), protein content by Kjeldahl method, and mineral digestibility and phytic acid were determined by in-vitro assays. Results and discussion. The dehulling/debranning process increased the protein digestibility rate over to 65% and decreased phytic acid content significantly (p0.05) of the cereal grains except for rye. The mineral digestibility raised for all grain samples, but it was evaluated statistically insignificant (p0.05). The rice flour was the sample that had the lowest phytic acid content (921.87 mg/100g) and the highest mineral digestibility rate (58.35%). Although the contents of total ash and some of the minerals (Na, Ca, K, Mg, Zn, Fe, Ba, and P) decreased in flours especially in wheat and paddy, the rate of some minerals (Na, Mg, Zn, Fe, and Al) increased due to their distribution and localization in the grain layers, especially in rye and oat. The result of the study has shown that the level of the minerals changed depending on the bran/hull content of the grains, and the milling process was more effective on phytic acid content and on protein digestibility than on the mineral digestibility. While the phytic acid content was located on the outer layer of the grain, it was decreased in the kernel. Conclusions. Although the phytic acid content which affects the digestibility of the cereals were reduced by the milling process, the combination of different treatments such as soaking, fermentation could be suggested for improving the nutritional quality of the cereal.
AtıfScopus24WoS20OpenAlex27İncele - MakaleAçık Erişim2020Scopus SJRQ2The Costs of Disability in Turkey
İpek, Egemen
In this study, the additional economic cost of disability for households is calculated using a standard of living approach (SoL) for Turkey. Firstly, the Standard of Living (SoL) index is determined using principal components analysis through the Household Budget Survey data for the year 2014. The cost of disability is estimated using ordered logit method by dividing the index into three income groups such as low, middle and high. As a result of the analysis, it is estimated that households with disabilities need additional financial support of at least 9.1% of household income in order to reach the same standard of living as those without disabled individuals. In addition, two different levels of disability, which are working life disability and daily life disability, are considered in estimating the cost of disability. While the cost caused by individuals’ disabilities in working life is 14.6% of their household's income, the ratio is 9.1% for the individuals’ disabilities in daily life.
AtıfScopus16WoS12OpenAlex19İncele - MakaleYalnız künye2020Scopus SJRQ2Hazard analysis using a Bayesian network and linear programming
Efe, Burak; Kurt, Mustafa; Efe, Ömer Faruk
In order to make a system safer, it is necessary to determine which hazard should be removed by considering the interactions of all hazards in the process. In this study, the influence of the hazards related to iron works in a construction firm is examined by Bayesian network approach. If only the most important hazard is identified and removed from the work environment, it may be erroneous to comment on the levels of the remaining hazards. A Bayesian network is proposed to remove this problem. If there is more time and budget than planned for a process, these capacities will have to be reduced in other processes. Linear programming is proposed to remove this problem. A strong decision support system has been established by combining a Bayesian network and linear programming. A construction firm application has been demonstrated using the proposed method.
AtıfScopus10WoS9OpenAlex15İncele - MakaleAçık Erişim2020Scopus SJRQ2Biological activities and phytochemical screening of ethanol extracts from adonis paryadrica (Ranunculaceae)
Ucuncu, Osman; Baltaci, Cemalettin; Akar, Zeynep; Duzgun, Azer Ozad; Cuce, Mustafa; Kandemir, Ali
In this study, secondary metabolite profiles of flower, leaf and root of Adonis paryadrica ethanolic extracts were performed by using a newly developed and validated LC-MS/MS method. For this purpose, the LC-MS/MS system was used for the quantitative and qualitative analysis of 37 phytochemicals. The main component of the flower, leaf and root extracts was the quinic acid (160, 111 and 64 mg/kg, respectively). Antioxidant activities were determined using methods such as DPPH (SC50, mg/mL), FRAP (µM TEAC), CUPRAC (µM TEAC), ABTS (SC50, mg/mL) and TPC (GAE, µg/mL). While the highest antioxidant activity value for FRAP, CUPRAC, ABTS and TPC methods was determined in the leaf part of the plant, this value was determined in the flower part for DPPH. The antibacterial effects of the plant extracts were determined by liquid microdilution and agar diffusion methods. As a result, antimicrobial effect of flowers, leaf and all sections of plant extracts were determined except plant root extracts which did not display any activity against bacteria. Antimicrobial activity of the plant flower extract was found to be higher especially against to P. vulgaris with 3.5 mg/mL MIC.
AtıfScopus11WoS8OpenAlex17İncele - MakaleYalnız künye2020Scopus SJRQ2Phytochemical profile and biological activity of a therapeutic orchid from Anatolia: Dactylorhiza romana subsp. georgica
Kotiloğlu, Deniz; Acet, Tuba; Özcan, Kadriye
In Anatolia, the tubers of Dactylorhiza romana subsp. georgica orchid are consumed as food and frequently used in folk medicine to alleviate the symptoms of some disorders. However, these properties have not been scientifically studied until the present day. In this research, we aimed to identify phenolic profile of the orchid tubers and determine their several features and functions. Among these, there are the antioxidant and antimicrobial effects and the inhibitory effect against diabetes related enzymes (α-amylase and α-glucosidase). In this sense, total phenolic content (Folin–Cicalteu assay), total antioxidant capacity (Phosphomolybdate method), antioxidant (ABTS and DPPH assays) and enzyme inhibition effects of tuber extracts obtained with different solvents (chloroform, ethyl acetate, methanol, ethanol, or hexane) were determined by using spectrophotometric methods, and the phenolic profile was also analysed by HPLC. In addition, antimicrobial activity of the extracts against 3 g (+) and 3 g (−) bacteria and 2 forms of yeasts was determined by disc diffusion and micro dilution methods. Based on our findings, the total phenolic content and antioxidant properties of ethyl acetate extract were considerably higher than the others. The most abundant among the screened phenolic standards was found to be benzoic acid. The highest α-amylase and α-glucosidase enzyme inhibition was measured in methanol and chloroform extracts, respectively. The highest antibacterial (B. cereus) and anticandidal (C. tropicalis and C. albicans) activities were detected in the chloroform and ethyl acetate extracts, respectively. In short, it was clearly seen that the D. romana subsp. georgica tuber had a great potential for being used in food and drug industries as a source of bioactive compounds.
AtıfScopus16WoS10OpenAlex16İncele - MakaleAçık Erişim2020Scopus SJRQ3Highly sensitive fluorometric method based on nitrogen-doped carbon dot clusters for tartrazine determination in cookies samples
Gümrükçüoğlu, Abidin; Başoğlu, Aysel; Kolayli, Sevgi; Di̇Nç, Saliha; Kara, Meryem; Ocak, Miraç; Ocak, Ümmühan
Nitrogen-doped carbon nanodots (CDs) were prepared via the solvothermal method, using urea and triethylene glycol as the starting materials. The as-prepared CDs had individual diameters of approximately 100 nm and were in clusters of different sizes. The surface composition and optical properties of the as-prepared CDs were characterized. They exhibited multicolor emission properties in the visible range when excited with a wide wavelength range. The aqueous solution of the CDs was used in highly sensitive tartrazine determination. The fluorescence quenching of the CDs was in a linear relationship with the concentrations of tartrazine in the range of 0.5–30.0 µM. The detection limit of the assay was 0.18 µM. Acceptable recovery results were obtained via spike-recovery experiments on cookie samples.
AtıfScopus22WoS19OpenAlex23TR Dizin1İncele - MakaleAçık Erişim2020Scopus SJRQ4The middle income trap: Theory and empirical evidence; [Orta gelir tuzagi: Teori ve ampirik kanit]
Topal, Mehmet Hanefi
The middle income trap (MIT) is a concept that is often used in the economic development literature but is not defined clearly enough. The purpose of this study is to revise previous discussions on MIT and to make an empirical investigation of the existence of MIT in 44 middle-income countries based on Ye and Robertson's (2016) time series approach. Unlike conventional time series analyses, this study takes into consideration non-linearity in time series and smooth transition of structural breaks. The empirical findings of this study show the following results. There is strong evidence of the existence of MIT in seven countries. The stochastic convergence is valid for twenty one countries, including Turkey. The trend findings of the countries show that the income gap between ten countries and the US is decreasing quite slowly or increasing steadily. These results also indicate that economic and institutional reform requirements maintain their priority in the political agenda in most middle income - especially in Latin American - countries.
AtıfScopus2OpenAlex5İncele - MakaleAçık Erişim2020Scopus SJRQ4A comparison of alternative curve fitting techniques for different earthquake fault parameters of Iranian earthquakes; [Comparación de técnicas de ajuste de curvas para diferentes parámetros de fallas en terremotos en Irán]
Öztürk, Serkan; Ghassemi, Mohammad R.; Sarı, Mahmut
In this study, we tried to estimate the optimum linear equations among the parameters associated with different earthquake fault mechanisms for Iranian earthquakes. For this purpose, we tested different curve fitting methods in order to present the most proper empirical relationships between several seismic parameters for different fault systems. In the present paper, 46 large and destructive Iranian earthquakes whose magnitudes change between 5.8 and 7.8 from 1900 to 2014 were used for the analyses. A comparison was made by using four types of curve fitting techniques. The estimation procedures are considered as (1) L2 or Least Squares Regression, (2) L1 or Least Sum of Absolute Deviations Regression, (3) Robust Regression and, (4) Orthogonal Regression. Confidence intervals were selected as 95% for all types of regression relationships. In the selection of the best probability distribution, we considered the correlation coefficients of the linear regressions as a powerful and conceptually simple method. Correlation coefficients of all relationships change between 0.299 and 0.986 with Orthogonal regression, between 0.168 and 0.792 with L1 regression, between 0.059 and 0.829 with Robust regression. For Iranian earthquakes, the most suitable and reliable empirical relationships between moment magnitude (Mw) and surface wave magnitude (Ms), Mw and surface rupture length (SRL), Mw and maximum displacement (MD), and SRL and MD were obtained by Orthogonal regression since it supplies stronger correlation coefficients than those of the other regression techniques in most estimates. The results show that estimated empirical relationships among the different fault parameters by using the Orthogonal regression method can be accepted as more up-to-date and more appropriate in comparison with the other regression norms. Consequently, these equations were suggested as more reliable in the estimation of the maximum surface displacement, maximum surface rupture length and associated with the maximum credible earthquakes for different areas of Iran. Furthermore, obtained relationships can be statistically significant for the assessment of seismic, tectonic and geologic activities, and they can be used to evaluate the rupture hazard of the Iranian Plateau.
AtıfScopus2WoS2OpenAlex2İncele - MakaleYalnız künye2020Scopus SJRQ2Validating InSAR-SBAS results by means of different GNSS analysis techniques in medium- and high-grade deformation areas
Yalvac, Sefa
This study aimed to validate the interferometric synthetic aperture radar (InSAR) method by using relative and absolute Global Navigation Satellite System (GNSS) techniques. In this context, two land subsidence areas, one high (Mexico City) and one medium (Aguascalientes), were monitored between 2014 and 2018 by using Sentinel 1A satellite data. The monitoring was carried out with the Small Baseline Subset (SBAS) technique using 46 images for Mexico City and 18 images for Aguascalientes. Concordantly, the GNSS Continuously Operating Reference Station (CORS) data in the regions were analyzed with relative and Precise Point Positioning (PPP) GNSS analysis techniques. The time series obtained from three different analyses were compared and the results were evaluated in light of statistical criteria. According to the results, it is determined that the InSAR-SBAS technique can vary up to ± 20 mm from the displacement values obtained from GNSS due to various noise sources. Such deviations were limited to a few samples, and in general the differentiations were reasonable in the range of 7–8 mm. The difference between the deformation velocity estimation results obtained from the three different methods varied between 3 and 10 mm/year. In this context, these findings suggest that the InSAR-SBAS technique is an effective method for monitoring land deformation with the accuracy of sub-centimeter decided. In addition, PPP which has become an increasingly popular technique showed fast and reliable results in the range of 5–10 mm for InSAR verification. Moreover, with this study, most current results for Mexico City, which is the world’s fastest subsiding metropole, were achieved. In the central region of the city, the detected 300 mm/year of subsidence rate was updated as 370 mm/year. In addition, Aguascalientes was monitored by using the Sentinel 1A satellite mission for the first time in this study. The 60 mm/year subsidence rate obtained for Aguascalientes in previous studies was updated and it was estimated that there are zones where this rate reaches up to − 115 mm/year levels. In this regard, it was concluded that the deformation rate has increased for both regions since the previous monitoring studies.
AtıfScopus60WoS53OpenAlex62İncele - MakaleAçık Erişim2020Scopus SJRQ2Multi-criteria decision making approach based on PROMETHEE with probabilistic simplified neutrosophic sets
Altun, Fatma; Şahin, Rıdvan; Güler, Coşkun
Probabilistic simplified neutrosophic set (PSNS) is an important tool to describe the vagueness existing in the real life. In this study, we define a PSNS and discuss some of theoretical set operations of PSNSs. Also we propose the concepts of module on PSNSs, as well as inner product and projection operator between two PSNSs. In relation to this new set, we introduce a probabilistic simplified neutrosophic number (PSNN). A PSNN has three components which is called probabilistic-valued truth membership degree, probabilistic-valued indeterminacy membership degree and probabilistic-valued falsity membership degree, respectively. We give some of algebraic operational rules, a score function and an accuracy function on PSNNs. Furthermore, we introduce two aggregation operators called the probabilistic simplified neutrosophic weighted arithmetic average operator and the probabilistic simplified weighted geometric average operator on PSNNs. Furthermore, we determine weights of criteria with a method that is based on fuzzy measure and develop a method based on preference function to determine weight of each decision maker. We present an extended PROMETHEE method based on PSNSs for group decision problems. Finally, as an application of this theory, we give a practice on a multi-criteria group decision making problem based on PSNNs by using extended PROMETHEE method to ensure stability of the proposed method.
AtıfScopus40WoS18OpenAlex28İncele - MakaleAçık Erişim2020Scopus SJRQ4The mediating role of self-compassion in the relationship between perceived COVID-19 threat and death anxiety; [Algılanan COVID-19 tehdidi ve ölüm kaygısı arasındaki ilişkide öz şefkatin aracı rolü]
Kavaklı, Mehmet; Ak, Mehmet; Uğuz, Faruk; Türkmen, Osman Oğulcan
Objective: The COVID-19 pandemic is a new and highly detrimental event that has influenced the world over. Besides the obvious health risks, COVID-19 has also affected people psychologically. The high risk of contamination can increase the perceived COVID-19 threat and death anxiety in individuals. The aim of the present study was to investigate the mediating role of self-compassion in the relationship between perceived COVID-19 threat and death anxiety. Additionally, the study also investigated the role of gender, profession and income level in the perceived COVID-19 threat and death anxiety. Method: The research sample was composed of 562 individuals from the community. The data was gathered by using personal information form and the Perceived COVID-19 Threat Form, Self-Compassion Scale and Turkish Death Anxiety Scale. Results: The relationship between perceived COVID-19 threat and death anxiety was partially mediated by self-compassion. Moreover, people in the high income group had a lower level of perceived COVID-19 threat and death anxiety score compared to the low-income group. Perceived COVID-19 threat levels were lower among health care professionals compared to unemployed individuals. Female participants had a higher level of perceived COVID-19 threat and death anxiety score compared to male participants. Discussion: Self-compassion may be an essential variable to help cope with problems related to perceived COVID-19 threat and death anxiety. Improving our understanding of the psychological impacts of COVID-19 is necessary and essential.
AtıfScopus57WoS56OpenAlex41TR Dizin23İncele - MakaleYalnız künye2020Scopus SJRQ4Macroeconomic Dynamics of Labour Income Share in the United States: Evidence From MARS
Çelik, Orkun
Macroeconomic dynamics of labour income share (will be referred to herein as lis) in the United States for the period of 1948Q1-2019Q1 are tried to be determined in this study, where Multivariate Adaptive Regression Splines (will be referred to herein as MARS) approach is employed. In order to investigate sectoral differences, the business, non-farm, and non-finance sectors are evaluated, respectively. In accordance with the obtained results, it may be observed that the macroeconomic dynamics of lis in the business sector are productivity, export, profit, gross private domestic investment, unemployment rate, current account balance, gross domestic product, and tax revenue, respectively. Related macroeconomic dynamics of lis concerning non-farm sector are productivity, current account balance, gross private domestic investment, export, consumer price index, gross domestic product, profit, unemployment rate, and gross government investment. Aforementioned dynamics for non-finance sector are also profit, productivity, import, gross domestic product, tax revenue, gross government investment, consumer price index, and unemployment rate. In accordance with this, the most significant dynamic with respect to lis is profit in the non-finance sector, while it is productivity in the business and non-farm sectors.
- MakaleYalnız künye2020Scopus SJRQ1Effects of Mn Content on Microstructure, Mechanical and Dry Sliding Wear Properties of Eutectic Al–Si–Cu Alloy
Alemdag, Yasin; Beder, Murat
Abstract: In the present study, effects of Mn content on microstructure, hardness, tensile and dry sliding wear properties of eutectic Al–Si–Cu alloy in as cast-state were investigated. Mn addition to the eutectic alloy results in the formation of α-Al15Mn3Si2 phase in its microstructure. It was found that hardness of eutectic alloy increases continuously with increasing Mn content while its tensile strength and percentage elongation values decrease. It was also found that the friction coefficient and volume loss of eutectic alloy decrease as Mn content increases. Amongst the alloys, the lowest friction coefficient is obtained with Al–12Si–3Cu–2Mn alloy yet the Al–12Si–3Cu–1Mn alloy exhibits the highest wear resistance. Formation of adhesion layer, its oxidation and delamination were observed to be main wear mechanisms of Al–12Si–3Cu–(0–2)Mn alloys. These findings are explained in terms of formation of α-Al15Mn3Si2 phase, and its cracking tendency effect. Graphic abstract: [Figure not available: see fulltext.].
AtıfScopus19WoS19OpenAlex19İncele - MakaleYalnız künye2020Scopus SJRQ3Food label reading habits of health sciences students
Odaman, Tayyibe Ayşe; Bahar, Rabia; Şam, Sedanur; Ilyasoğlu, Huri
Purpose: The purpose of this study is to determine the food label reading habits of health sciences students. Design/methodology/approach: The data were collected through a face-to-face survey with voluntary students (n: 520). The survey questionnaire consisted of three parts to gather information about their demographic and anthropometric characteristics and food label reading habits. Chi-squared test and Pearson correlation analysis were used to analyze the data. Findings: The health sciences students mostly read the food name, expiration date and ingredients on the food labels. However, they paid less attention to the nutrient contents, such as the fat type and carbohydrate, cholesterol, sugar, fiber and salt amounts. The female students paid more attention to the nutrient contents than the male students. Moreover, the Nutrition and Dietetics students paid more attention to the nutrient contents than the other students. Significant negative correlations were found between the carbohydrate, protein and fat amount reading habits and both the body mass index (p = 0.005, p = 0.001 and p < 0.001) and waist to height ratio (p = 0.040, p = 0.005 and p = 0.022). Research limitations/implications: This study does not allow one to draw conclusions for all university students. Originality/value: This study is first such study performed among health sciences students in Turkey.
AtıfScopus7WoS7OpenAlex8İncele - MakaleYalnız künye2020Scopus SJRQ1Evaluating the feasibility of blockchain in logistics operations: A decision framework
Ar, Ilker Murat; Erol, Ismail; Peker, Iskender; Ozdemir, Ali Ihsan; Medeni, Tunc Durmus; Medeni, Ihsan Tolga
The main purpose of this study is to investigate the feasibility of blockchain technology in logistics industry using a quantitative approach. To this end, a decision framework is proposed based on a multi-criteria decision structure that incorporates AHP into VIKOR under Intuitionistic Fuzzy Theory. This integration presents different solutions and rankings based on different decision-making strategies and also captures uncertainty in the evaluation process. While Intuitionistic Fuzzy AHP calculates the importance weights of the proposed criteria indicated as scalability, privacy, interoperability, audit, latency, visibility, trust, and security, Fuzzy VIKOR ranks the logistics operations demonstrated as materials handling, warehousing, order processing, transportation, packaging, fleet management, labeling, vehicle routing and product returns management. The proposed decision framework was applied in a large-scale logistics company located in Turkey. The findings of this study suggest that while the most important criteria are security, visibility and audit, the most feasible logistics operations proved to be transportation, materials handling, warehousing, order processing and fleet management in a possible blockchain implementation. The decision framework in this study may enable decision makers to evaluate the feasibility of blockchain in logistics operations, which is one of the main research gaps in the current blockchain research. Furthermore, this is the first study that integrates AHP and VIKOR methods under Intuitionistic Fuzzy Theory in the context of blockchain.
AtıfScopus138WoS106OpenAlex145İncele